Designed and deployed a scalable AI/ML cloud solution using GPU-accelerated inference to streamline document processing, achieving 92% accuracy and optimizing inference speed by leveraging GCP, Llama Vision, and PyTorch.

Undertook voluntary applied research sabbatical, completed Computer Science Masters in ML & systems

Built, managed, and led a team of 9 analytics engineers & data scientists across North America. I was responsible for technical strategy and roadmap for advanced analytics tooling & infra for Meta Business product focused operations org of ~400 FTE. Cultivated a highly collaborative environment with cross-functional teams, partners, and senior leadership groups.• Built ground-up teams of analytics engineers & data scientists, from 1 to 9. Conducted behavioral interviews and led hiring committee. Eventually took leadership of peer team, leading 9 ICs.• Led ML data quality initiative to develop golden dataset, raising ML tagging accuracy for issue detection by refining data labeling and feature engineering processes.• Developed an ML-driven Product Quality org strategy in partnership with Senior Director of Operations to identify issue prevention opportunity estimated 12%, expected to result in $1Bn of incremental revenue.• Mentored and coached 9 senior analytics engineers & data scientists (including 2 team leads) to achieve 10 promotions.• Led growth and transformation initiatives with a focus on expanding ML-driven projects, resulting in an 89% retention rate across four re-organizations.• Implemented SDLC engineering practices (formalized requirements gathering & design phases) as well as Agile principles. Led analytics engineering, data science, & data engineering teams as Scrum Master.• Developed measurement & optimize strategy for client org’s service agents. Drove 43% of record +11% for stakeholder’s top priority KPI, Resolution.• Design capacity scaling strategy via outsourced contractor model. Raised team capacity by 44% and increased “Work You Enjoy”, a qualitative measure of developer experience.• Designed and led scenario-based analyses, empowering stakeholder leadership to secure +50 FTE and +$115M in OPEX for Contingency and Long Range Planning.

As a leader of a team supporting a new advertising product at eBay, I managed a team of 3 data scientists and 2 analytics engineers across multiple global geographies. I owned measurement, attribution, and GTM campaign performance, embedding ML models into engineering practices to align predictive capabilities with product growth objectives.• Enabled YoY revenue growth of 39%, driving $110M in incremental revenue through ML-driven insights and effective marketing measurement strategies for adoption and repeat usage, aligning with Product and Engineering core objectives.• Led team to automate Product impact analysis workflows, refactoring measurement with machine learning & advanced analytics methods.• Built a culture of engineering excellence, automating manual workflows, using SDLC principles and integrating them in Engineering’s release cycles, raising release velocity by 27%.

As the Head of Data at General Assembly, I led a team of 3 analytics engineers / data scientists with 2 data engineers through dotted line responsibilities. I was responsible for all machine learning, data science, and analytics functions at the company level.• Led ML-based product development (LTV/CAC optimization, revenue forecasting) to elevate business outcomes• Led requirements authoring for new data infra build to modernize data products. Partnering with Data Engineering in implementation.

As the Director of Web and Marketing Analytics at Tapestry, I led a team of 3 analysts & 1 manager and was responsible for the analytics function for the Global Digital org at Coach, including insight generation as well as selection, and integration of advanced analytics tooling.• Led reporting infrastructure build, resulting in +48% increase analysis throughput via automation.• Partnered with Product and UX teams on roadmap on site and feature development.• Led strategic sourcing and onboarding of vendors, accelerating the pace and enhancing the quality of insight generation, user experience research, and product development initiatives.

As the Analytics Manager at One Kings Lane, I oversaw a team of two analysts and drove insights for for product, marketing, creative operations, and retail. My role encompassed data-driven decision through ML-augmented ad-hoc analysis, A/B testing and descriptive analytics.• Led discovery of revenue cannibalization through A/B test to measure customer behavior, recommending strategic adjustments to C-team which recuperated $15MM potential revenue (annualized).• Engineered a predictive algorithm for Click-Through Rate on lifestyle imagery, enhancing photo selection strategy and boosting top of funnel micro-conversion rates by 16%.• Created and rolled out comprehensive reporting and performance metrics for the Product/Mobile division, leading to web funnel optimization and a 9% improvement in conversion rates.

As an Data Science Consultant in the gaming industry, I founded and scaled a side-business into a gaming data consultancy. I leveraged data engineering to compile a comprehensive player database for trend analysis to increase my clients' profitability. My approach involved empirically validating data-driven strategies, which I also used to market my consultancy services.• Data mined / segmented user information for trend analysis, developed solutions for 20+ global clients, create +125% growth in overall client profitability• Optimized client workload via competitive analysis, resulting in 17% reduction of hourly workload• Utilized modeling, metrics, and back-testing in solution selling approach, growing initial investment of $600 to over six figures

As a Senior Analyst at Johnson & Johnson, I supervised an analyst intern and played a key role within the team that handled service negotiations for the Consumer Products Division. I led projects focused on price optimization via vendor data modeling, managed global Request for Proposals, contract negotiations, and drove process improvement projects as a Six Sigma Green Belt.• Actively managed $84MM of Finance, Marketing, Advertising services creating $3.8MM annualized savings• Lead global graphics project, creating $1.4MM process related savings via price modeling• Co-developed agency commodity strategy focusing on agreement consolidation, pay-for-performance modeling, reconciliation process• Modeled group pricing strategies for negotiations, developed best-in-class Consumer model for renegotiations

As an Intern on the Data Cleansing team, I specialized in refining vendor data for optimal use in Freemarkets' core reverse auction product. My expertise in Microsoft VBA and RegEx was pivotal in ensuring data accuracy and usability, significantly contributing to the development of a new Data Cleansing service.